# OpenAI Releases GABRIEL Toolkit to Scale Social Science Research

OpenAI has announced GABRIEL, an open-source toolkit that transforms qualitative research into quantitative data using GPT technology, enabling social scientists to analyze text and images at unprecedented scale.

The new tool addresses a longstanding challenge in social science research: converting subjective observations, interview transcripts, and visual materials into measurable data that can be analyzed systematically. Traditionally, this process required extensive manual coding by trained researchers, limiting the scope and speed of studies.

GABRIEL automates this conversion process by leveraging GPT's language understanding capabilities. Researchers can now process large volumes of qualitative materials—from open-ended survey responses to photographs—and extract structured, quantitative insights that would have taken months or years to compile manually.

The toolkit's open-source nature means researchers at universities and institutions worldwide can access and adapt it for their specific needs without licensing costs. This democrat